{
  "run_id": "2026-09-23-r3-linkup",
  "round": 2,
  "tool": "linkup",
  "mode": "standard",
  "tc_id": "TC1",
  "capability": "C1",
  "scenario": "S1",
  "suite_role": "control",
  "query_text": "What is the maximum size of an individual file I can upload through OpenAI's Files API?",
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  "answer_key": "Individual files can be up to 512 MB, and each project can store up to 2.5 TB of files in total.",
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  "pass_criteria": "A returned result genuinely states 512 MB",
  "key_verified_date": "2026-09-07",
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  "timestamp_utc": "2026-09-23T09:18:57Z",
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  "status": "ok",
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  "grader_notes": null,
  "latency_ms": 3272.0,
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  "results": [
    {
      "rank": 1,
      "url": "https://certidevs.com/tutorial-openai-file-api",
      "title": "File API de OpenAI - gestion de archivos en Python",
      "content": "## Gesti\u00f3n de archivos  \nLa **File API** de OpenAI act\u00faa como un sistema de almacenamiento centralizado que permite subir y gestionar documentos para ser utilizados por diversos servicios de la plataforma, como el **Fine-tuning**, la **Batch API** o los **Asistentes**.  \nEn lugar de enviar el contenido de los archivos en cada solicitud, esta API permite referenciarlos mediante un identificador \u00fanico, optimizando el ancho de banda y facilitando la reutilizaci\u00f3n de recursos.  \nLos archivos subidos se almacenan de forma segura y est\u00e1n sujetos a pol\u00edticas de retenci\u00f3n espec\u00edficas seg\u00fan su prop\u00f3sito. Por ejemplo, los archivos pueden tener un tama\u00f1o m\u00e1ximo de **512 MB** cada uno, y cada organizaci\u00f3n dispone de un l\u00edmite de almacenamiento total (actualmente hasta **100 GB** o m\u00e1s seg\u00fan el plan). Es fundamental asignar correctamente el **prop\u00f3sito** del archivo al momento de subirlo, ya que esto determina qu\u00e9 modelos o herramientas podr\u00e1n acceder a \u00e9l.\n## Subida de archivos y prop\u00f3sitos  \nPara cargar un archivo en la plataforma, utilizamos el m\u00e9todo `files.create`. Este m\u00e9todo requiere dos argumentos principales: el **archivo** en s\u00ed (abierto en modo binario) y el **purpose** (prop\u00f3sito). El prop\u00f3sito v\u00e1lida el formato del archivo y habilita su uso en endpoints espec\u00edficos.  \nLos prop\u00f3sitos m\u00e1s comunes incluyen:  \n- `assistants`: Para archivos que ser\u00e1n utilizados por Asistentes (Code Interpreter o File Search).\n- `fine-tune`: Para conjuntos de datos de entrenamiento en formato JSONL.\n- `batch`: Para archivos de solicitudes por lotes (Batch API).\n- `vision`: Para im\u00e1genes que ser\u00e1n procesadas por modelos de visi\u00f3n.  \nA continuaci\u00f3n, un ejemplo de c\u00f3mo subir un archivo:  \n```\nfrom openai import OpenAI\nclient = OpenAI()\n\n# Subir un archivo\narchivo = client.files.create(\nfile=open(\"mi-archivo.pdf\", \"rb\"),\npurpose=\"assistants\"\n)\n\nprint(f\"Archivo subido con ID: {archivo.id}\")\n```\n## Descarga de contenido y eliminaci\u00f3n  \nLa API permite descargar el contenido de los archivos generados por el sistema o subidos por el usuario mediante `files.content`. Sin embargo, existe una **restricci\u00f3n de seguridad importante**: no es posible descargar el contenido de archivos subidos con el prop\u00f3sito `assistants` (ni de archivos originales ni de adjuntos), para proteger la privacidad de los datos procesados por los asistentes.  \nSolo se permite la descarga de archivos con prop\u00f3sitos como `fine-tune`, `batch`.  \nPara mantener la higiene del almacenamiento y evitar alcanzar los l\u00edmites de cuota, es recomendable eliminar los archivos que ya no son necesarios utilizando el m\u00e9todo `files.delete`.  \n- **Descargar el contenido de un archivo**(si el prop\u00f3sito lo permite):  \n```\n# Solo funciona para prop\u00f3sitos permitidos (ej. fine-tune-results)\ncontent = client.files.content(\"file-RESULTADOS...\")\n\n# Guardar el contenido en disco\nwith open(\"resultados.jsonl\", \"wb\") as f:\nf.write(content.read())\n```  \n- **Eliminar un archivo del sistema**:  \n```\ndeleted_file = client.files.delete(\"file-XyZ123...\")",
      "content_chars": 3011,
      "published_date": null
    },
    {
      "rank": 2,
      "url": "https://theneuralbase.com/openai-assistants/learn/intermediate/attachment-size-limits/",
      "title": "Attachment size limits | Openai Assistants Intermediate Course | The Neural Base",
      "content": "What this feature does: The OpenAI Assistants API v2 enforces file size limits at upload time. Individual files cannot exceed 20MB when using the file_search tool. Additionally, a single thread can hold a maximum of 10,000 files across all messages.\nOpenAI Assistants API enforces maximum file sizes per upload and per thread, which constrains document retrieval strategies for large knowledge bases.\nAlso, the code reads the PDF but never actually uploads it via client.beta.files.create(). File upload is a separate API call that must complete before you can reference the file in a message. The 20MB limit and 10,000 files per thread limits stated in prose are accurate as of April 2026, but the implementation code will not run. # FIX: File must be uploaded separately FIRST before attaching to a message # openai 1.0.0+ with open('research_paper.pdf', 'rb') as pdf_file: file_size_bytes = os.path.getsize('research_paper.pdf') file_size_mb = file_size_bytes / (1024 * 1024) if file_size_mb > 20: print(f\"File size {file_size_mb:.2f}MB exceeds 20MB limit.\nValid solutions involve either (1) pre-chunking the PDF client-side into multiple <15MB files and uploading as separate attachments, or (2) using a vector database (Pinecone, Weaviate, etc.) to embed and retrieve chunks, bypassing the file_search tool's size constraints. The key insight is that file_search is optimized for document-scale retrieval (thousands of words), not knowledge-base-scale retrieval (gigabytes of data). VERSION OpenAI Assistants API v2 (current as of April 2026) uses attachments array instead of file_ids.\n1 Stateful agent runtime hosted by OpenAI 2 Threads for conversation state 3 Built-in tools: file search, code interpreter 4 Custom function tools 5 Assistants API v2: 2024 6 Deprecation timeline: mid-2026 7 Migration path to Responses API",
      "content_chars": 1831,
      "published_date": null
    },
    {
      "rank": 3,
      "url": "https://fast.io/resources/openai-files-api-alternative/",
      "title": "OpenAI Files API Alternatives - Best Document Storage for AI | Fastio",
      "content": "OpenAI&#x27;s documentation shows the Files API supports individual files up to 512 MB, with a total storage quota of 2.5 TB per project. This works fine for basic prototypes. Problems appear when you build production AI applications.\nOpenAI's documentation shows the Files API supports individual files up to 512 MB, with a total storage quota of 2.5 TB per project. This works fine for basic prototypes. Problems appear when you build production AI applications. The storage model locks files into OpenAI's ecosystem.\nOpenAI Files API supports individual files up to 512 MB with storage beyond that limit and compatibility with multiple AI frameworks Storage pricing at $0.10/GB/day for vector store indexing on OpenAI platform Files API has a 512MB per-file limit, charges $0.10/GB/day for vector storage, and caps assistants at 20 files each Store large files for AI agents beyond 512MB using cloud storage services with larger limits\nThe Files API has a 512MB per-file limit, charges $0.10/GB/day for vector storage, caps assistants at 20 files each, and provides no visual interface for file management. Files are tied to OpenAI's ecosystem, making multi-LLM architectures difficult. The API also lacks bulk operations, forcing developers to loop through files individually for uploads or deletions.\nThe Files API is designed specifically for OpenAI assistants and fine-tuning, with automatic vector indexing but limited flexibility. Cloud storage platforms provide file persistence, larger size limits, multi-LLM compatibility, and features like sharing, permissions, and webhooks.",
      "content_chars": 1588,
      "published_date": null
    },
    {
      "rank": 4,
      "url": "https://ragwalla.com/docs/guides/openai-files-api-complete-guide-to-upload-manage-delete-files",
      "title": "OpenAI Files API: Complete Guide to Upload, Manage & Delete Files",
      "content": "Files can serve different purposes including Assistants API integration, fine-tuning datasets, and vector store content. File Size Limits: Individual files: Up to 512 MB per file \u00b7 Organization total: 100 GB across all files \u00b7 Vector stores: ...\nThe OpenAI Files API provides endpoints for managing files used across OpenAI's platform. Files can serve different purposes including Assistants API integration, fine-tuning datasets, and vector store content. File Size Limits: Individual files: Up to 512 MB per file \u00b7 Organization total: 100 GB across all files \u00b7 Vector stores: 10,000 files per vector store maximum \u00b7\n# OpenAI Files API: Complete Guide to Upload, Manage & Delete Files The OpenAI Files API allows you to upload, manage, and delete files for use with Assistants, fine-tuning, and...\nWhile powerful, the API lacks built-in bulk operations and visual management tools, making file management challenging for developers working with large datasets. This comprehensive guide covers everything you need to know about the OpenAI Files API, including practical code examples, best practices, common issues, and solutions for efficient file management.\nWhile the OpenAI Files API is powerful, managing files through code can be tedious, especially for bulk operations. The API lacks: ... For developers who need a visual interface for OpenAI file management, we've built AI Files - a free macOS application that provides:",
      "content_chars": 1429,
      "published_date": null
    },
    {
      "rank": 5,
      "url": "https://theneuralbase.com/openai-fine-tuning/errors/openai-fine-tuning-file-upload-size-limit-exceeded/",
      "title": "OpenAI Fine-Tuning File Upload Size Limit Exceeded \u2014 Fix & Causes",
      "content": "The uploaded file for OpenAI fine-tuning exceeds the maximum allowed size limit imposed by the API. ... The 100MB limit cited is outdated - OpenAI fine-tuning API accepts individual files up to 512MB as of April 2024, with total dataset size capped at 2GB across all uploaded files combined.\nOpenAI's fine-tuning API enforces a strict maximum file size limit (typically 100MB) for training data uploads. When the uploaded file exceeds this limit, the API rejects the request with an error.\nFix OpenAI fine-tuning file upload size limit exceeded error fast. Learn why it happens, see broken vs fixed code, and prevent it in production with best practices.\nVerify actual current limits via OpenAI API docs before splitting - many teams unnecessarily fragment datasets that fit in a single 512MB file. The validation code is correct in principle but add: also validate that total dataset size across all batches won't exceed 2GB, and implement exponential backoff since file uploads can timeout on slow connections.\nCheck the file size before uploading by inspecting the file's byte size in your code and log or raise an error if it exceeds the documented limit to avoid API rejection. ... The training data JSONL file exceeds OpenAI's 100MB upload size limit.",
      "content_chars": 1257,
      "published_date": null
    },
    {
      "rank": 6,
      "url": "https://theneuralbase.com/openai-assistants/learn/intermediate/file-size-and-format-limits/",
      "title": "File size and format limits | Openai Assistants Intermediate Course | The Neural Base",
      "content": "The OpenAI Assistants API v2 (Files API) has hard limits on individual file uploads and supported formats. Each file uploaded to an Assistant for use with file_search cannot exceed 20MB, and only certain formats are supported: PDF, TXT, DOCX, PPTX, XLSX, JSON, CSV, and images (PNG, JPEG, GIF, WEBP).\nThe OpenAI Assistants API v2 (Files API) has hard limits on individual file uploads and supported formats. Each file uploaded to an Assistant for use with file_search cannot exceed 20MB, and only certain formats are supported: PDF, TXT, DOCX, PPTX, XLSX, JSON, CSV, and images (PNG, JPEG, GIF, WEBP).\nUse this knowledge to add client-side validation before calling client.beta.assistants.files.create(). For multi-file workflows, batch-check sizes and formats first, then upload in parallel. For documents larger than 20MB, split them by chapters or sections, upload each as a separate file, and reference all uploaded file IDs in a single Assistant. ... import os from pathlib import Path from openai import OpenAI client = OpenAI(api_key=os.environ.get('OPENAI_API_KEY')) file_path = Path('example_document.pdf') if not file_path.exists(): raise FileNotFoundError(f'{file_path} not found') file_size\nFile exceeds 20MB, unsupported format, or file is corrupted. Check file_path.stat().st_size and file_path.suffix against supported_formats list before calling the API. ... OPENAI_API_KEY is missing or invalid.\nEnsure OPENAI_API_KEY is set in your environment before instantiating the OpenAI client. The SDK reads this at client creation time, not at method call time. ... The unique identifier for this file attachment.",
      "content_chars": 1622,
      "published_date": null
    },
    {
      "rank": 7,
      "url": "https://oapi-open-ai.hexdocs.pm/OpenAi.Files.html",
      "title": "OpenAi.Files \u2014 OpenAI REST API Client v1.0.2",
      "content": "# [View Source](https://github.com/wois-org/open-api-open-ai/blob/master/lib/operations/files.ex#L1) OpenAi.Files (OpenAI REST API Client v1.0.2)  \nProvides API endpoints related to files\n# create\\_file(body, opts \\\\\\\\ \\[])  \n[View Source](https://github.com/wois-org/open-api-open-ai/blob/master/lib/operations/files.ex#L22)  \n```\n@spec create_file(body :: OpenAi.File.CreateRequest.t(), opts :: keyword()) ::\n{:ok, OpenAi.File.t()} | {:error, OpenAi.Error.error()}\n```  \nUpload a file that can be used across various endpoints. Individual files can be up to 512 MB, and the size of all files uploaded by one organization can be up to 100 GB.  \nThe Assistants API supports files up to 2 million tokens and of specific file types. See the [Assistants Tools guide](/docs/assistants/tools) for details.  \nThe Fine-tuning API only supports `.jsonl` files. The input also has certain required formats for fine-tuning [chat](/docs/api-reference/fine-tuning/chat-input) or [completions](/docs/api-reference/fine-tuning/completions-input) models.  \nThe Batch API only supports `.jsonl` files up to 200 MB in size. The input also has a specific required [format](/docs/api-reference/batch/request-input).  \nPlease [contact us](https://help.openai.com/) if you need to increase these storage limits.  \n[Link to this function](#delete_file/2)\n# list\\_files(opts \\\\\\\\ \\[])  \n[View Source](https://github.com/wois-org/open-api-open-ai/blob/master/lib/operations/files.ex#L89)  \n```\n@spec list_files(opts :: keyword()) ::\n{:ok, OpenAi.File.ListResponse.t()} | {:error, OpenAi.Error.error()}\n```  \nReturns a list of files.",
      "content_chars": 1608,
      "published_date": null
    },
    {
      "rank": 8,
      "url": "https://developers.openai.com/api/reference/resources/files/methods/create",
      "title": "Upload file | OpenAI API Reference",
      "content": "Individual files can be up to 512 MB, and each project can store up to 2.5 TB of files in total. There is no organization-wide storage limit. Uploads to this endpoint are rate-limited to 1,000 requests per minute per authenticated user. The Assistants API supports files up to 2 million tokens ...\nIndividual files can be up to 512 MB, and each project can store up to 2.5 TB of files in total. There is no organization-wide storage limit. Uploads to this endpoint are rate-limited to 1,000 requests per minute per authenticated user. The Assistants API supports files up to 2 million tokens and of specific file types.\nThe file identifier, which can be referenced in the API endpoints. ... The size of the file, in bytes.\nThe Batch API only supports .jsonl files up to 200 MB in size.\nFor details on why a fine-tuning training file failed validation, see the error field on fine_tuning.job. ... curl https://api.openai.com/v1/files \\ -H \"Authorization: Bearer $OPENAI_API_KEY\" \\ -F purpose=\"fine-tune\" \\ -F file=\"@mydata.jsonl\" -F expires_after[anchor]=\"created_at\" -F expires_after[seconds]=2592000",
      "content_chars": 1100,
      "published_date": null
    },
    {
      "rank": 9,
      "url": "https://community.openai.com/t/openai-file-size-limit-and-batch-api-result-files/897738",
      "title": "OpenAI File Size Limit and Batch API result files - API - OpenAI Developer Community",
      "content": "I am using Batch API to embed large amount of documents. OpenAI has a total file size limit per organization of 100 GB, which affects the amount of data I can upload at any time for processing them. How about the result\u2026\nI am using Batch API to embed large amount of documents. OpenAI has a total file size limit per organization of 100 GB, which affects the amount of data I can upload at any time for processing them. How about the result\u2026",
      "content_chars": 441,
      "published_date": null
    },
    {
      "rank": 10,
      "url": "https://community.openai.com/t/20-files-per-assistant-clarification/479659",
      "title": "20 files per assistant clarification - API - OpenAI Developer Community",
      "content": "\u201cYou can attach a maximum of 20 files per Assistant, and they can be at most 512 MB each.\u201d Can someone clarify this for me? I should technically be able to have one assistant with the same instruction and model power t\u2026\n\u201cYou can attach a maximum of 20 files per Assistant, and they can be at most 512 MB each.\u201d Can someone clarify this for me? I should technically be able to have one assistant with the same instruction and model power thousands of threads. If anything, I\u2019d think the file limit would be at the thread level, not the assistant.\n\u201cYou can attach a maximum of 20 files per Assistant, and they can be at most 512 MB each.\u201d Can someone clarify this for me? I should technically be able to have one assistant with the same instruction and model power t\u2026",
      "content_chars": 765,
      "published_date": null
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      {
        "name": "File API de OpenAI - gestion de archivos en Python",
        "url": "https://certidevs.com/tutorial-openai-file-api",
        "content": "## Gesti\u00f3n de archivos  \nLa **File API** de OpenAI act\u00faa como un sistema de almacenamiento centralizado que permite subir y gestionar documentos para ser utilizados por diversos servicios de la plataforma, como el **Fine-tuning**, la **Batch API** o los **Asistentes**.  \nEn lugar de enviar el contenido de los archivos en cada solicitud, esta API permite referenciarlos mediante un identificador \u00fanico, optimizando el ancho de banda y facilitando la reutilizaci\u00f3n de recursos.  \nLos archivos subidos se almacenan de forma segura y est\u00e1n sujetos a pol\u00edticas de retenci\u00f3n espec\u00edficas seg\u00fan su prop\u00f3sito. Por ejemplo, los archivos pueden tener un tama\u00f1o m\u00e1ximo de **512 MB** cada uno, y cada organizaci\u00f3n dispone de un l\u00edmite de almacenamiento total (actualmente hasta **100 GB** o m\u00e1s seg\u00fan el plan). Es fundamental asignar correctamente el **prop\u00f3sito** del archivo al momento de subirlo, ya que esto determina qu\u00e9 modelos o herramientas podr\u00e1n acceder a \u00e9l.\n## Subida de archivos y prop\u00f3sitos  \nPara cargar un archivo en la plataforma, utilizamos el m\u00e9todo `files.create`. Este m\u00e9todo requiere dos argumentos principales: el **archivo** en s\u00ed (abierto en modo binario) y el **purpose** (prop\u00f3sito). El prop\u00f3sito v\u00e1lida el formato del archivo y habilita su uso en endpoints espec\u00edficos.  \nLos prop\u00f3sitos m\u00e1s comunes incluyen:  \n- `assistants`: Para archivos que ser\u00e1n utilizados por Asistentes (Code Interpreter o File Search).\n- `fine-tune`: Para conjuntos de datos de entrenamiento en formato JSONL.\n- `batch`: Para archivos de solicitudes por lotes (Batch API).\n- `vision`: Para im\u00e1genes que ser\u00e1n procesadas por modelos de visi\u00f3n.  \nA continuaci\u00f3n, un ejemplo de c\u00f3mo subir un archivo:  \n```\nfrom openai import OpenAI\nclient = OpenAI()\n\n# Subir un archivo\narchivo = client.files.create(\nfile=open(\"mi-archivo.pdf\", \"rb\"),\npurpose=\"assistants\"\n)\n\nprint(f\"Archivo subido con ID: {archivo.id}\")\n```\n## Descarga de contenido y eliminaci\u00f3n  \nLa API permite descargar el contenido de los archivos generados por el sistema o subidos por el usuario mediante `files.content`. Sin embargo, existe una **restricci\u00f3n de seguridad importante**: no es posible descargar el contenido de archivos subidos con el prop\u00f3sito `assistants` (ni de archivos originales ni de adjuntos), para proteger la privacidad de los datos procesados por los asistentes.  \nSolo se permite la descarga de archivos con prop\u00f3sitos como `fine-tune`, `batch`.  \nPara mantener la higiene del almacenamiento y evitar alcanzar los l\u00edmites de cuota, es recomendable eliminar los archivos que ya no son necesarios utilizando el m\u00e9todo `files.delete`.  \n- **Descargar el contenido de un archivo**(si el prop\u00f3sito lo permite):  \n```\n# Solo funciona para prop\u00f3sitos permitidos (ej. fine-tune-results)\ncontent = client.files.content(\"file-RESULTADOS...\")\n\n# Guardar el contenido en disco\nwith open(\"resultados.jsonl\", \"wb\") as f:\nf.write(content.read())\n```  \n- **Eliminar un archivo del sistema**:  \n```\ndeleted_file = client.files.delete(\"file-XyZ123...\")",
        "favicon": "https://favicons.linkup.so?domain=certidevs.com",
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      {
        "name": "Attachment size limits | Openai Assistants Intermediate Course | The Neural Base",
        "url": "https://theneuralbase.com/openai-assistants/learn/intermediate/attachment-size-limits/",
        "content": "What this feature does: The OpenAI Assistants API v2 enforces file size limits at upload time. Individual files cannot exceed 20MB when using the file_search tool. Additionally, a single thread can hold a maximum of 10,000 files across all messages.\nOpenAI Assistants API enforces maximum file sizes per upload and per thread, which constrains document retrieval strategies for large knowledge bases.\nAlso, the code reads the PDF but never actually uploads it via client.beta.files.create(). File upload is a separate API call that must complete before you can reference the file in a message. The 20MB limit and 10,000 files per thread limits stated in prose are accurate as of April 2026, but the implementation code will not run. # FIX: File must be uploaded separately FIRST before attaching to a message # openai 1.0.0+ with open('research_paper.pdf', 'rb') as pdf_file: file_size_bytes = os.path.getsize('research_paper.pdf') file_size_mb = file_size_bytes / (1024 * 1024) if file_size_mb > 20: print(f\"File size {file_size_mb:.2f}MB exceeds 20MB limit.\nValid solutions involve either (1) pre-chunking the PDF client-side into multiple <15MB files and uploading as separate attachments, or (2) using a vector database (Pinecone, Weaviate, etc.) to embed and retrieve chunks, bypassing the file_search tool's size constraints. The key insight is that file_search is optimized for document-scale retrieval (thousands of words), not knowledge-base-scale retrieval (gigabytes of data). VERSION OpenAI Assistants API v2 (current as of April 2026) uses attachments array instead of file_ids.\n1 Stateful agent runtime hosted by OpenAI 2 Threads for conversation state 3 Built-in tools: file search, code interpreter 4 Custom function tools 5 Assistants API v2: 2024 6 Deprecation timeline: mid-2026 7 Migration path to Responses API",
        "favicon": "https://favicons.linkup.so?domain=theneuralbase.com",
        "type": "text"
      },
      {
        "name": "OpenAI Files API Alternatives - Best Document Storage for AI | Fastio",
        "url": "https://fast.io/resources/openai-files-api-alternative/",
        "content": "OpenAI&#x27;s documentation shows the Files API supports individual files up to 512 MB, with a total storage quota of 2.5 TB per project. This works fine for basic prototypes. Problems appear when you build production AI applications.\nOpenAI's documentation shows the Files API supports individual files up to 512 MB, with a total storage quota of 2.5 TB per project. This works fine for basic prototypes. Problems appear when you build production AI applications. The storage model locks files into OpenAI's ecosystem.\nOpenAI Files API supports individual files up to 512 MB with storage beyond that limit and compatibility with multiple AI frameworks Storage pricing at $0.10/GB/day for vector store indexing on OpenAI platform Files API has a 512MB per-file limit, charges $0.10/GB/day for vector storage, and caps assistants at 20 files each Store large files for AI agents beyond 512MB using cloud storage services with larger limits\nThe Files API has a 512MB per-file limit, charges $0.10/GB/day for vector storage, caps assistants at 20 files each, and provides no visual interface for file management. Files are tied to OpenAI's ecosystem, making multi-LLM architectures difficult. The API also lacks bulk operations, forcing developers to loop through files individually for uploads or deletions.\nThe Files API is designed specifically for OpenAI assistants and fine-tuning, with automatic vector indexing but limited flexibility. Cloud storage platforms provide file persistence, larger size limits, multi-LLM compatibility, and features like sharing, permissions, and webhooks.",
        "favicon": "https://favicons.linkup.so?domain=fast.io",
        "type": "text"
      },
      {
        "name": "OpenAI Files API: Complete Guide to Upload, Manage & Delete Files",
        "url": "https://ragwalla.com/docs/guides/openai-files-api-complete-guide-to-upload-manage-delete-files",
        "content": "Files can serve different purposes including Assistants API integration, fine-tuning datasets, and vector store content. File Size Limits: Individual files: Up to 512 MB per file \u00b7 Organization total: 100 GB across all files \u00b7 Vector stores: ...\nThe OpenAI Files API provides endpoints for managing files used across OpenAI's platform. Files can serve different purposes including Assistants API integration, fine-tuning datasets, and vector store content. File Size Limits: Individual files: Up to 512 MB per file \u00b7 Organization total: 100 GB across all files \u00b7 Vector stores: 10,000 files per vector store maximum \u00b7\n# OpenAI Files API: Complete Guide to Upload, Manage & Delete Files The OpenAI Files API allows you to upload, manage, and delete files for use with Assistants, fine-tuning, and...\nWhile powerful, the API lacks built-in bulk operations and visual management tools, making file management challenging for developers working with large datasets. This comprehensive guide covers everything you need to know about the OpenAI Files API, including practical code examples, best practices, common issues, and solutions for efficient file management.\nWhile the OpenAI Files API is powerful, managing files through code can be tedious, especially for bulk operations. The API lacks: ... For developers who need a visual interface for OpenAI file management, we've built AI Files - a free macOS application that provides:",
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      },
      {
        "name": "OpenAI Fine-Tuning File Upload Size Limit Exceeded \u2014 Fix & Causes",
        "url": "https://theneuralbase.com/openai-fine-tuning/errors/openai-fine-tuning-file-upload-size-limit-exceeded/",
        "content": "The uploaded file for OpenAI fine-tuning exceeds the maximum allowed size limit imposed by the API. ... The 100MB limit cited is outdated - OpenAI fine-tuning API accepts individual files up to 512MB as of April 2024, with total dataset size capped at 2GB across all uploaded files combined.\nOpenAI's fine-tuning API enforces a strict maximum file size limit (typically 100MB) for training data uploads. When the uploaded file exceeds this limit, the API rejects the request with an error.\nFix OpenAI fine-tuning file upload size limit exceeded error fast. Learn why it happens, see broken vs fixed code, and prevent it in production with best practices.\nVerify actual current limits via OpenAI API docs before splitting - many teams unnecessarily fragment datasets that fit in a single 512MB file. The validation code is correct in principle but add: also validate that total dataset size across all batches won't exceed 2GB, and implement exponential backoff since file uploads can timeout on slow connections.\nCheck the file size before uploading by inspecting the file's byte size in your code and log or raise an error if it exceeds the documented limit to avoid API rejection. ... The training data JSONL file exceeds OpenAI's 100MB upload size limit.",
        "favicon": "https://favicons.linkup.so?domain=theneuralbase.com",
        "type": "text"
      },
      {
        "name": "File size and format limits | Openai Assistants Intermediate Course | The Neural Base",
        "url": "https://theneuralbase.com/openai-assistants/learn/intermediate/file-size-and-format-limits/",
        "content": "The OpenAI Assistants API v2 (Files API) has hard limits on individual file uploads and supported formats. Each file uploaded to an Assistant for use with file_search cannot exceed 20MB, and only certain formats are supported: PDF, TXT, DOCX, PPTX, XLSX, JSON, CSV, and images (PNG, JPEG, GIF, WEBP).\nThe OpenAI Assistants API v2 (Files API) has hard limits on individual file uploads and supported formats. Each file uploaded to an Assistant for use with file_search cannot exceed 20MB, and only certain formats are supported: PDF, TXT, DOCX, PPTX, XLSX, JSON, CSV, and images (PNG, JPEG, GIF, WEBP).\nUse this knowledge to add client-side validation before calling client.beta.assistants.files.create(). For multi-file workflows, batch-check sizes and formats first, then upload in parallel. For documents larger than 20MB, split them by chapters or sections, upload each as a separate file, and reference all uploaded file IDs in a single Assistant. ... import os from pathlib import Path from openai import OpenAI client = OpenAI(api_key=os.environ.get('OPENAI_API_KEY')) file_path = Path('example_document.pdf') if not file_path.exists(): raise FileNotFoundError(f'{file_path} not found') file_size\nFile exceeds 20MB, unsupported format, or file is corrupted. Check file_path.stat().st_size and file_path.suffix against supported_formats list before calling the API. ... OPENAI_API_KEY is missing or invalid.\nEnsure OPENAI_API_KEY is set in your environment before instantiating the OpenAI client. The SDK reads this at client creation time, not at method call time. ... The unique identifier for this file attachment.",
        "favicon": "https://favicons.linkup.so?domain=theneuralbase.com",
        "type": "text"
      },
      {
        "name": "OpenAi.Files \u2014 OpenAI REST API Client v1.0.2",
        "url": "https://oapi-open-ai.hexdocs.pm/OpenAi.Files.html",
        "content": "# [View Source](https://github.com/wois-org/open-api-open-ai/blob/master/lib/operations/files.ex#L1) OpenAi.Files (OpenAI REST API Client v1.0.2)  \nProvides API endpoints related to files\n# create\\_file(body, opts \\\\\\\\ \\[])  \n[View Source](https://github.com/wois-org/open-api-open-ai/blob/master/lib/operations/files.ex#L22)  \n```\n@spec create_file(body :: OpenAi.File.CreateRequest.t(), opts :: keyword()) ::\n{:ok, OpenAi.File.t()} | {:error, OpenAi.Error.error()}\n```  \nUpload a file that can be used across various endpoints. Individual files can be up to 512 MB, and the size of all files uploaded by one organization can be up to 100 GB.  \nThe Assistants API supports files up to 2 million tokens and of specific file types. See the [Assistants Tools guide](/docs/assistants/tools) for details.  \nThe Fine-tuning API only supports `.jsonl` files. The input also has certain required formats for fine-tuning [chat](/docs/api-reference/fine-tuning/chat-input) or [completions](/docs/api-reference/fine-tuning/completions-input) models.  \nThe Batch API only supports `.jsonl` files up to 200 MB in size. The input also has a specific required [format](/docs/api-reference/batch/request-input).  \nPlease [contact us](https://help.openai.com/) if you need to increase these storage limits.  \n[Link to this function](#delete_file/2)\n# list\\_files(opts \\\\\\\\ \\[])  \n[View Source](https://github.com/wois-org/open-api-open-ai/blob/master/lib/operations/files.ex#L89)  \n```\n@spec list_files(opts :: keyword()) ::\n{:ok, OpenAi.File.ListResponse.t()} | {:error, OpenAi.Error.error()}\n```  \nReturns a list of files.",
        "favicon": "https://favicons.linkup.so?domain=oapi-open-ai.hexdocs.pm",
        "type": "text"
      },
      {
        "name": "Upload file | OpenAI API Reference",
        "url": "https://developers.openai.com/api/reference/resources/files/methods/create",
        "content": "Individual files can be up to 512 MB, and each project can store up to 2.5 TB of files in total. There is no organization-wide storage limit. Uploads to this endpoint are rate-limited to 1,000 requests per minute per authenticated user. The Assistants API supports files up to 2 million tokens ...\nIndividual files can be up to 512 MB, and each project can store up to 2.5 TB of files in total. There is no organization-wide storage limit. Uploads to this endpoint are rate-limited to 1,000 requests per minute per authenticated user. The Assistants API supports files up to 2 million tokens and of specific file types.\nThe file identifier, which can be referenced in the API endpoints. ... The size of the file, in bytes.\nThe Batch API only supports .jsonl files up to 200 MB in size.\nFor details on why a fine-tuning training file failed validation, see the error field on fine_tuning.job. ... curl https://api.openai.com/v1/files \\ -H \"Authorization: Bearer $OPENAI_API_KEY\" \\ -F purpose=\"fine-tune\" \\ -F file=\"@mydata.jsonl\" -F expires_after[anchor]=\"created_at\" -F expires_after[seconds]=2592000",
        "favicon": "https://favicons.linkup.so?domain=developers.openai.com",
        "type": "text"
      },
      {
        "name": "OpenAI File Size Limit and Batch API result files - API - OpenAI Developer Community",
        "url": "https://community.openai.com/t/openai-file-size-limit-and-batch-api-result-files/897738",
        "content": "I am using Batch API to embed large amount of documents. OpenAI has a total file size limit per organization of 100 GB, which affects the amount of data I can upload at any time for processing them. How about the result\u2026\nI am using Batch API to embed large amount of documents. OpenAI has a total file size limit per organization of 100 GB, which affects the amount of data I can upload at any time for processing them. How about the result\u2026",
        "favicon": "https://favicons.linkup.so?domain=community.openai.com",
        "type": "text"
      },
      {
        "name": "20 files per assistant clarification - API - OpenAI Developer Community",
        "url": "https://community.openai.com/t/20-files-per-assistant-clarification/479659",
        "content": "\u201cYou can attach a maximum of 20 files per Assistant, and they can be at most 512 MB each.\u201d Can someone clarify this for me? I should technically be able to have one assistant with the same instruction and model power t\u2026\n\u201cYou can attach a maximum of 20 files per Assistant, and they can be at most 512 MB each.\u201d Can someone clarify this for me? I should technically be able to have one assistant with the same instruction and model power thousands of threads. If anything, I\u2019d think the file limit would be at the thread level, not the assistant.\n\u201cYou can attach a maximum of 20 files per Assistant, and they can be at most 512 MB each.\u201d Can someone clarify this for me? I should technically be able to have one assistant with the same instruction and model power t\u2026",
        "favicon": "https://favicons.linkup.so?domain=community.openai.com",
        "type": "text"
      }
    ]
  }
}